Abstract
Background: Human error is one of the major causes of accidents in the petrochemical industry. Under critical situation, human error is affected by complex factors. Managing such a situation is important to prevent losses and injury. This study aimed to develop a dynamic model of human error assessment in emergencies in the petrochemical industry. Study design: A cross-sectional study. Methods: Fuzzy Bayesian network was used to improve the capabilities of the method for determining the control mode. Fuzzy-AHP-TOPSIS method was also used to prioritize emergency scenarios and human error assessment was applied for the most important emergency condition. Results: Fire in a chemical storage unit was recognized as the most important emergency condition. Common Performance Conditions (CPCs) were determined based on the opinions of a panel of 30 experts and specialists and 7 CPCs were selected for emergencies; then, based on the results of AHP method the relative weights were determined. Finally, membership functions, inputs, and outputs of fuzzy sets, CPC values in 8 emergency response tasks, and the probability of control modes were determined using Bayesian Cognitive Reliability and Error Analysis Method (CREAM) method. Conclusion: This method could be applied to overcome the weaknesses of traditional methods, provide a repeatable method for human error assessment, and manage human error in an emergency.
Highlights
Emergencies are conditions, which may end to a range of effects such as mortality, disability-induced damage, destruction, pollution, damage to products, and equipment, or social consequences[1]
This study aimed to develop a dynamic model of human error assessment in emergencies in the petrochemical industry
Membership functions, inputs, and outputs of fuzzy sets, Common Performance Conditions (CPCs) values in 8 emergency response tasks, and the probability of control modes were determined using Bayesian Cognitive Reliability and Error Analysis Method (CREAM) method. This method could be applied to overcome the weaknesses of traditional methods, provide a repeatable method for human error assessment, and manage human error in an emergency
Summary
Emergencies are conditions, which may end to a range of effects such as mortality, disability-induced damage, destruction, pollution, damage to products, and equipment, or social consequences[1]. Emergencies are unplanned and unpredictable circumstances associated with the lack of enough time to plan to deal with the problem, require excess physical resources and attempts to control the conditions, reduce cognitive performance,. It can cause stress in individuals[2]. Due to stress, human performance in emergencies can result in human error, and human error user such situations can lead to catastrophic consequences, including death, injury, disruption, psychological effects, as well as environmental impacts[3]. Human error is affected by complex factors Managing such a situation is important to prevent losses and injury. This study aimed to develop a dynamic model of human error assessment in emergencies in the petrochemical industry
Sign-in/Register to view highlights & summary 
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call